An Episomal Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 System for Transgene-Free Multiplex Gene Editing in Pig Cells

Despite significant advancements in CRISPR/Cas-based genome editing technology over the past decade, achieving simultaneous homozygous gene editing at multiple targets in primary cells remains a major challenge. In this study, we developed and constructed a CRISPR multi-gene targeting system that integrates episomal vectors with tRNA–sgRNA array technology. This approach leverages scaffold/matrix attachment region (S/MAR) sequences to enable sustained episomal expression of both Cas9 and single-guide RNAs (sgRNAs) without genomic integration, thereby enhancing gene editing efficiency. For simultaneous editing of multiple loci, we used the tRNA–sgRNA architecture to process multiple sgRNAs from a single vector. Using this system in porcine fetal fibroblasts, we achieved concurrent editing of six genes, namely ANXA7, GSK3A, ENTPD6, SIRT3, CYP20A1, and SOCS2, in individual cells. These edited cells supported normal development following somatic cell nuclear transfer, yielding blastocysts with unaltered developmental competence. Collectively, our findings establish a framework for the application of CRISPR/Cas9 in gene-edited pigs, facilitating the generation of multi-gene-edited animals for biomedical and agricultural applications.

Authors

Institutions

Publication Details

Journal
Biology
Published
2026-05-08
DOI
https://doi.org/10.3390/biology15100742
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Episomal Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 System for Transgene-Free Multiplex Gene Editing in Pig Cells

Xiaogang Weng, Chengbo Sun, Jun Song, Tianze Li et al.
Biology
CRISPR and Genetic Engineering
article

An Episomal Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 System for Transgene-Free Multiplex Gene Editing in Pig Cells

Xiaogang Weng, Chengbo Sun, Jun Song, Tianze Li, YuChang YAO, Xingrui Ren, Yanshuang Mu, Dongyan Yang, Jian Tian, Mingjie Feng, Jiayan Wu, Chaoqian Jiang
article en

Abstract

Despite significant advancements in CRISPR/Cas-based genome editing technology over the past decade, achieving simultaneous homozygous gene editing at multiple targets in primary cells remains a major challenge. In this study, we developed and constructed a CRISPR multi-gene targeting system that integrates episomal vectors with tRNA–sgRNA array technology. This approach leverages scaffold/matrix attachment region (S/MAR) sequences to enable sustained episomal expression of both Cas9 and single-guide RNAs (sgRNAs) without genomic integration, thereby enhancing gene editing efficiency. For simultaneous editing of multiple loci, we used the tRNA–sgRNA architecture to process multiple sgRNAs from a single vector. Using this system in porcine fetal fibroblasts, we achieved concurrent editing of six genes, namely ANXA7, GSK3A, ENTPD6, SIRT3, CYP20A1, and SOCS2, in individual cells. These edited cells supported normal development following somatic cell nuclear transfer, yielding blastocysts with unaltered developmental competence. Collectively, our findings establish a framework for the application of CRISPR/Cas9 in gene-edited pigs, facilitating the generation of multi-gene-edited animals for biomedical and agricultural applications.

BiologyVol. 15(10)
Northeast Agricultural University (CN), Jilin University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 8%
CRISPR and Genetic Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.